Data and Hardware Efficient Design for Convolutional Neural Network

碩士 === 國立交通大學 === 電子研究所 === 105 === Deep convolutional neural networks (CNNs) have achieved state-of-the-art accuracy on the recognition, detection, and other computer vision fields. However, its hardware design faces challenges of high computational complexity and data bandwidth as well as huge div...

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Bibliographic Details
Main Authors: Lin, Yue-Jin, 林岳縉
Other Authors: Chang, Tian-Sheuan
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/53096384893402910541